Gregory Davrazos

According to our database, Gregory Davrazos authored at least 15 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Semi-supervised Learning for Early Certification Prediction in MOOCs.

George Raftopoulos, Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the Artificial Intelligence Applications and Innovations, 2025

Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems Using Semi-Supervised Learning.

Gregory Davrazos, Nikos Fazakis, Sotiris Kotsiantis

Proceedings of the Artificial Intelligence Applications and Innovations, 2025

2024

Optimizing Service Efficiency: Incoming Call Forecasting Utilizing Smart City Open Data - A Case Study.

Gregory Davrazos, George Raftopoulos, Georgios Kostopoulos, Sotiris Kotsiantis

Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

Predictive Vigilance: Harnessing Internet of Things and Machine Learning for Smoke Detection.

Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 15th International Conference on Information, 2024

Enhancing Predictive Maintenance with Interpretable AutoML: A Case Study on Detecting Ball-Bearing Faults Using IoT Data.

Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 15th International Conference on Information, 2024

Enhancing Occupancy Detection Through IoT: A Comparative Analysis of Classifiers.

Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 15th International Conference on Information, 2024

2023

Financial sentiment analysis: Classic methods vs. deep learning models.

Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis

Intell. Decis. Technol., 2023

IoT-Enabled Crop Recommendation in Smart Agriculture Using Machine Learning.

Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 14th International Conference on Information, 2023

IoT Device Identification Using a Meta-Ensemble Multi-Class Classifier.

Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 14th International Conference on Information, 2023

Android Malware Detection in IoT Mobile Devices using a Meta-ensemble Classifier.

Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 14th International Conference on Information, 2023

Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning.

Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas

Proceedings of the 14th International Conference on Information, 2023

Water Quality Estimation from IoT Sensors Using a Meta-ensemble.

Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

2007

Modeling and stability analysis of state-switched hybrid systems via Differential Petri Nets.

Gregory Davrazos, Nick T. Koussoulas

Simul. Model. Pract. Theory, 2007

2006

Flatness Conservation in the <i>n</i>-trailer System Equipped with a Sliding Kingpin Mechanism.

Vasileios Deligiannis, Gregory Davrazos, Stamatis Manesis, T. Arampatzis

J. Intell. Robotic Syst., 2006

2003

On the Suppression of Off-tracking in Multi-articulated Vehicles through a Movable Junction Technique.

Stamatis Manesis, Nick T. Koussoulas, Gregory Davrazos

J. Intell. Robotic Syst., 2003